4 papers
MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
Andy Cǎtrunǎ, Adrian Cosma, Emilian Rǎdoi
Gait encodes rich biometric and behavioural information, yet leveraging the manner of walking to infer psychological traits remains a challenging and underexplored problem. We intr…
Database-Agnostic Gait Enrollment using SetTransformers
Nicoleta Basoc, Adrian Cosma, Andy Cǎtrunǎ +1
Gait recognition has emerged as a powerful tool for unobtrusive and long-range identity analysis, with growing relevance in surveillance and monitoring applications. Although recen…
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
Adrian Cosma, Andy Cǎtrunǎ, Emilian Rǎdoi
Gait recognition from video streams is a challenging problem in computer vision biometrics due to the subtle differences between gaits and numerous confounding factors. Recent adva…
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
Andy Catruna, Adrian Cosma, Ion Emilian Radoi
Obtaining demographics information from video is valuable for a range of real-world applications. While approaches that leverage facial features for gender inference are very succe…